BHA振动分析模型的开发与应用

Meng Cui
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引用次数: 0

摘要

底部钻具组合横向振动被认为是阻碍钻速(ROP)的一个限制因素。基于牛顿运动方程和Euler-Bernoulli梁弯曲方程,建立了稳态强迫频率响应动力学模型,分析了BHA代理中单点质量的振动性能。其中,点之间的连接依赖于无质量弹簧或阻尼器。频域模型更准确地表示了特定BHA配置的实际机械状态。在此基础上,采用半解析传递函数矩阵法计算了BHA代理中任意位置质量点的状态向量,大大减少了离散单元的数量和计算时间。它导致在PC上快速筛选大量的设计方案。状态向量包括梁的横向和角位移,以及梁的弯矩和剪切载荷,并将其集成为一个动态振动性能指标,称为横向振动强度估计(LSE),用于定量评价梁的横向振动状态。现场应用表明,该方法可以在钻井过程中对底部钻具组合(BHA)的振动性能进行建模,从而改进钻前设计和作业,提高钻井速度,减少钻井过程中井下设备的故障。通过比较高频井下存储传感器数据(100个样本/秒的数据速率),对监测工具进行了现场验证。
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Development and Application of a BHA Vibrations Analysis Model
BHA lateral vibration has been identified as one limiter that may hinder the rate of penetration (ROP). Based on Newton’s equations of motion and Euler-Bernoulli beam bending equation, a steady-state forced-frequency response dynamic model was developed to analyze vibration performance for a single point mass in the BHA surrogate. Wherein, the connection between points relied on massless springs or dampers. The frequency-domain model more accurately represented actual mechanical states for a particular BHA configuration. On this basis, the state vector for a mass point was calculated by the semi-analytical transfer function matrix method at any given position in the BHA surrogate, which greatly reduced the number of discrete elements and the associated computing time. It caused rapid screening of a large number of design alternatives on a PC. The state vector included the lateral and angular deflections, as well as the beam bending moment and shear load, which were integrated as a dynamic vibration performance index called Lateral Vibration Strength Estimate (LSE) utilized to quantitatively evaluate the lateral vibration state. The field application demonstrates that the methods for modeling bottom hole assembly (BHA) vibration performance during drilling to enable improved design in pre-drill and operation for enhanced drilling rate of penetration, to reduce downhole equipment failure in drilling. Field validation for the surveillance tool was performed by comparing high-frequency downhole memory sensor data (100samples/second data rate).
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